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Building a Strategic Revenue Case for Local Market Entry Webinar Recap Blog

Insights and strategies from Lionbridge and CSA Research experts for market entry success

In today’s competitive global market, employing a multilingual marketing strategy to enter new markets is no longer a luxury but a necessity. However, local market entry is a complex process that requires careful planning and strategic decision-making.

During our webinar, Building a Strategic Revenue Case for Local Market Entry, CSA Research and Lionbridge joined forces to discuss what it takes for successful market entry:

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  • CSA Research demonstrated its sophisticated tool that eliminates the guesswork in selecting the most promising markets for expansion.

  • Lionbridge highlighted how its sophisticated generative AI technology can tune content for enhanced language delivery upon entering a new market.

  • Lionbridge discussed its REACH and TRUST frameworks for trustworthy AI-generated content with measurable business outcomes.

Want to watch the webinar in its entirety? Use the button below to access the recording.

The Global Revenue Forecaster™: What Is it?

CSA Research developed the Global Revenue Forecaster to help businesses make data-driven decisions when entering new markets. The tool generates projections of potential revenue that may be achieved by adding new languages or countries to a company’s international portfolio, providing businesses with realistic revenue targets. The model assumes that the new markets will perform similarly to the company’s existing median market.

How Can the Global Revenue Forecaster Be Used?

Businesses can utilize the tool to generate data-driven insights, enabling executives to identify where to focus their next investment and build a compelling market entry case. The data helps validate market entry and localization investment for global marketing, secure support within an organization, and increase the commitment to a particular target market or corporate strategy.

The tool can also show how a company’s revenue might be affected by reducing budgets for a specific language or country. This information can enable executives to direct cuts to areas that will cause the least harm when cost-cutting is necessary.

The Global Revenue Forecaster can also shift the perception of localization. What was once considered an expense can now be viewed as an investment that pays off by driving growth.

“If you bring data to the table and demonstrate that there’s ROI to be had, often that can unlock budget and spending even when it’s being cut elsewhere.”

—Arle Lommel, CSA Research, Senior Analyst

How Does the Global Revenue Forecaster Work?

Input

Essential company information is inputted into the Global Revenue Forecaster, including:

  • Current languages
  • Potential languages
  • Revenue information (annual revenue country by country is best)
  • Candidate markets
  • Industry

Output

The tool generates outputs based on thousands of variables and their interrelationships, including:

  • Detailed projections of new revenue by language and county candidates
  • An overview of total revenue and where it comes from:
    • Current revenue—from markets and languages you currently support
    • New revenue—from your potential languages and candidate markets
    • Shifted revenue—from individuals who would change from a current language offering to a preferred language under consideration

Users may modify inputs to explore different scenarios. For instance, if you are weighing options between Spanish and Portuguese, you may add more Spanish-speaking countries to the Global Revenue Forecaster tool to see how the Latin American countries add up, even if they are not large opportunities individually.

What Costs Must Companies Consider Before Entering a New Market?

Once you’ve identified a new market and its revenue potential, you must factor in all costs and requirements associated with market expansion. In other words, what will be the cost of realizing the projected revenue?

The answer, in large part, is determined by your investment in content. Content generation and localization can yield substantial returns when executed correctly by enhancing user engagement and conversion rates. AI can be leveraged to achieve this goal.

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What Is the Role of AI in Content ROI?

AI introduces a new dimension to content ROI by offering a scalable and cost-effective solution for content generation and localization.

By leveraging AI, companies can automate content generation and localization processes, ensuring efficiency and consistency while maintaining high-quality outputs. Additionally, AI enables companies to fine-tune their content strategy, ensuring that their investment aligns with the potential revenue from each market.

AI plays a vital role in balancing cost and quality. Without AI, companies faced a trade-off between low-cost, low-quality Machine Translations and high-cost, high-quality human translations. AI bridges this gap by providing various levels of content refinement and enabling businesses to tailor their content efforts to different targets and content types, optimizing content investment based on expected returns.

With a website and SEO analysis, companies can identify how important the content is to determine an investment strategy for new markets:

  • Pages that will drive the business will warrant a more significant investment. In such cases, they may create dedicated content to address questions unique to the market.

  • Pages that won’t lead to conversions will need less investment. In these cases, they may rely more heavily on automated solutions and minimize reliance on human effort.

How Can Lionbridge Aurora AI™ Optimize Content Strategies for Maximum ROI?

Lionbridge Aurora AI, our content orchestration platform, offers a range of options, from fully automated processes to human-in-the-loop methods, enabling an approach that optimizes cost and content quality based on expected returns. By utilizing Aurora AI, businesses can effectively tailor their content strategies to meet different market needs—such as investing more (or less) in prompt engineering or automated Quality Assurance (QA)—ensuring maximum return on investment (ROI) on their content investments.

How Can a Company Maximize Content ROI and Ensure Responsible AI Use With Lionbridge Frameworks?

The REACH Framework

Lionbridge’s REACH framework is a systematic approach to keep AI-generated content focused on measurable business outcomes. It encompasses the following elements, ensuring:

R, ROI—The investment in your global content matches expected returns and delivers business outcomes.

E, Engagement—The content is specifically adapted to engage your global targets on specific goals. 

A, Audience—The content resonates with each of your audiences in global markets on a cultural, community, and demographic level.

C, Control—Automated gathering of engagement and content quality data drives decision-making on content specifications. 

H, Human-in-the-Loop—The AI-first process is controlled, curated, and informed by human oversight and insights to optimize every step. 

The TRUST Framework

Lionbridge’s TRUST framework increases confidence in AI output through the following elements for AI-human collaboration:

T, Transparent—AI systems’ operations and decision-making processes are justifiable and explainable.

R, Reliable—AI systems perform consistently, are error and manipulation-resilient, and uphold high safety standards.

U, Useful—AI systems help meet specified objectives, adding value to human endeavors.

S, Scalable—AI systems can handle increasing workloads and maintain performance quality.

T, Timely—AI systems are responsive, updated, and provide insights and the work product in a timely, relevant manner.

Learn more about Lionbridge’s TRUST framework.

How Can You Leverage AI for Market Entry?

AI can help you enter new markets more efficiently by enabling agile content strategies. For example, if your content performs well in one market but not another, AI allows you to test and adjust your localization approach quickly.

For instance, you could create multiple versions of the same page for A/B testing, which would be cost-prohibitive if relying solely on humans.

This agility—made possible by AI content generation and a smart localization platform like Aurora AI—is invaluable for optimizing your market entry strategy and maximizing revenue growth.

What Is the Role of Humans in Market Entry?

AI eliminates the need for humans, a costly resource, to work on low-value tasks. Instead, it focuses people on where they are needed to improve outcomes, making them more valuable.

Whereas AI can automate many aspects of content creation, translation, and localization, humans still play a crucial role in prompt engineering, auditing the process, and making strategic decisions. Humans also ultimately decide which markets are best suited for entry.

What Are the Key Webinar Takeaways?

The webinar underscored the following main points:
  • Market entry is a complex process that requires careful planning and strategic decision-making.

  • CSA Research’s Global Revenue Forecaster can help businesses make data-driven projections of the potential revenue from different markets and languages.

  • Maximizing the ROI on content is crucial for global market success. Lionbridge’s Aurora AI can help enterprises tune their content investment to the expected return.

  • Humans are essential in the AI-driven market entry process, particularly in making strategic decisions and overseeing the localization process.

Interested in learning more? Visit the Lionbridge webinars page for a library of webinar recordings.

Get in touch

Ready to expand your business into new markets? Lionbridge can help. We utilize CSA’s Global Revenue Forecaster and offer a range of content solutions designed to help companies succeed in the global marketplace. Contact us today to learn more.

Note: The Lionbridge Content Remix App initially created the recap blog, which a human refined.

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AUTHORED BY
Janette Mandell

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